Meter Data, Ready for Analytics
Streaming ingestion, compliance-ready lakehouse, and theft/loss analytics for India's smart metering future.
The Gap
Interval Data at National Scale, No Analytics Layer
Smart meters are producing terabytes of interval data daily, but the analytics stack to turn it into actionable insights—theft detection, loss quantification, billing efficiency, RDSS readiness—is being built after the fact. By then, O&M economics are at risk, DISCO compliance windows are closing, and AMISP contracts are under pressure.
10-year O&M contracts depend on meter uptime and data quality. Analytics gaps mean blind spots.
RDSS milestones tie disbursements to results. Without analytics, proving impact is impossible.
What We Build
Meter-Data Lakehouse
Streaming Ingestion
Real-time meter data from MDMS/HES. Kafka, Kafka Connect, or direct API integration with sub-second latency.
MDMS/HES Integration
Master Device Management sync, customer master reconciliation, and billing system handoffs with guaranteed accuracy.
AT&C Loss & Theft Analytics
Detect non-technical losses, phantom meters, and consumption anomalies at district and feeder level. Built-in deviation algorithms.
Billing Efficiency Dashboards
Real-time revenue assurance, consumption trending, and collection readiness dashboards for operations teams.
RDSS-Milestone Tracking
Results tracking for RDSS milestones: meter count, data freshness, loss quantification, and KPI dashboards.
Archival & Compliance
Immutable audit trails. Cold storage for historical interval data with retention policies per REC/CERC mandates.
Who It's For
AMISPs
Protecting 10-year O&M economics
- •Real-time meter health dashboards
- •Uptime & data quality SLA tracking
- •Predictive meter maintenance insights
DISCOs
Unlocking results-linked disbursements
- •RDSS milestone proof & documentation
- •AT&C loss quantification & trending
- •Revenue assurance dashboards
Engagement Path
Meter Data Readiness Assessment
Audit current MDMS/HES setup, interval data flow, and analytics gaps.
Lakehouse Sprint
Build lakehouse, ingest meters, integrate MDMS, deploy core analytics in 8–12 weeks.
Managed Meter-Data Ops
Ongoing monitoring, alerting, analytics updates, and RDSS milestone tracking.
Next step:
Talk to us before your next RDSS milestone review. We'll scope your meter data readiness in 30 minutes.